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Mapbox is the leading real-time location platform serving over 4 million developers globally. The HD Maps team is at the forefront of geospatial big-data analytics, deploying GIS algorithmic solutions into scalable cloud applications for ADAS, autonomous vehicles, and non-automotive GIS customers.
In this role, you will design, develop, and maintain algorithmic components for cloud-based mapping applications. You'll implement scalable data processing solutions using Python, SQL, AWS, and Apache Spark, working on features that power high-precision mapping products. You'll collaborate with cross-functional R&D teams to integrate analytics solutions, participate in code reviews, and contribute to continuous improvement of development processes.
Key responsibilities include:
- Design and develop algorithmic components for cloud applications
- Implement scalable solutions using Python, SQL, AWS, and Spark
- Participate in feature design and implementation for cloud-based mapping products
- Collaborate with senior engineers to improve system performance, reliability, and scalability
- Work with product managers and engineering teams to deliver customer-aligned solutions
- Contribute to code reviews, testing, and development process improvements
Required qualifications:
- Strong programming skills in Python, Scala, or Java
- Experience building data processing applications or pipelines on AWS or similar cloud platforms
- Strong SQL skills with understanding of query execution and optimization
- Knowledge of distributed computing concepts and frameworks like Spark
- Experience with workflow orchestration tools (Airflow, Dagster, Prefect, or Luigi)
- Understanding of software engineering best practices (version control, testing, code reviews)
- Strong analytical and problem-solving skills
- Excellent English communication skills
Nice-to-have experience includes data visualization libraries, mapping/navigation/automotive industry exposure, machine learning for geospatial analysis, and open-source contributions.
